The bounds look like the first terms of an asymptotic series in 1/n. I'll develop such an asymptotic series. However, this is not a complete answer to the problem, as will be stated near the end.
First, use Gradshteyn 6.611, an integral involving a Bessel function,
$ \int_0^\infty e^{-ax} J_0(bx) dx = 1/\sqrt{a^2+b^2}$ in the sum to get
$$S:=\sum_{k=1}^{n} 1/\sqrt{k^2+n^2} = \sum_{k=1}^{n} \int_0^\infty e^{-kx} J_0(nx) dx = \int_0^\infty J_0(nx) \dfrac{1-e^{-nx}}{(e^x-1)} dx.$$
Get a series in 1/n by the following, where $B_k$ are Bernoulli numbers,
$$S=\dfrac{1}{n} \int_0^\infty J_0(x)\dfrac{1-e^{-x}}{(e^{x/n}-1)} dx =
\int_0^\infty dx \ J_0(x)\dfrac{1-e^{-x}}{x} \sum_{k=0}^\infty \Bigl(\dfrac{x}{n}\Bigr)^k \ \dfrac{B_k}{k!}.
$$
Now do what an asymptoticist does, and interchange the sum and the integral. The first of the two resultant integrals are actually convergent:
$$S \sim \sum_{k=0}^\infty \Bigl(\dfrac{1}{n}\Bigr)^k \int_0^\infty J_0(x)(1-e^{-x})x^{k-1} \ dx = $$
$$\int_0^\infty J_0(x)\frac{1-e^{-x}}{x}dx - \frac{1}{2n} \int_0^\infty J_0(x)(1-e^{-x}) + \sum_{k=1}^\infty \dfrac{B_{2k}\ n^{-2k}}{(2k)!}
\int_0^\infty dxJ_0(x)(1-e^{-x})x^{2k-1}
$$
The first 2 integrals are $\log(1+\sqrt{2})$ and $1-1/\sqrt{2}$, respectively.
The subsequent integrals are divergent, and a method of regularization is needed for them to make sense. I believe Chapter 4 of R. Wong, 'Asymptotic Approximation of Integrals' can be made to apply. In particular Lemma 4 of that chapter states that
$$\lim_{\epsilon\to0}\int_0^\infty J_\alpha(x)e^{-\epsilon \ x}x^{\mu-1}dx =
\dfrac{\Gamma(\alpha/2 + \mu/2)2^{\mu-1}}{\Gamma(\alpha/2 - \mu/2 +1)} . $$
Thus the divergent part of the integral is set to zero by a property of the $\Gamma$ function. The portion with the exponential decay converges and can be expressed in terms of Gauss's hypergeometric function, and on collecting, we have the asymptotic series
$$S \sim \log(1+\sqrt{2}) -\frac{1-1/\sqrt{2}}{2n} - \sum_{k=1}^\infty \dfrac{B_{2k}\ n^{-2k}}{2k} F(k,k+1/2,1,-1) .$$
The standard process of summing to least term illustrates that this is a good approximation, even for small n. For example, including only the first asymptotic term in the infinite series gives you almost five digits precision for n as small as 2!
Now for purposes of satisfying the proposer's bound question, an explicit bound on the asymptotic series must be obtained. I have not done this, but the aforementioned chapter of Wong provides a way to do it. The first term past those given explicitly is $-1/(24\sqrt{2} \ n^2).$ The next term of $O(n^{-4})$ is also negative. The pattern appears to be $--++--++-- ...$ With a sufficiently precise bound on either of those first 2 negative terms, then one has proved that, for all sufficiently large n,
$$S > \log(1+\sqrt{2}) -\frac{1-1/\sqrt{2}}{2n} \approx 0.8814 - \dfrac{0.2929}{2n}.$$
The proposer's inequality can be written as
$$S_p > \log(1+\sqrt{2}) -\frac{2\log(1+\sqrt{2})-\sqrt{2}}{2n} \approx 0.8814 - \dfrac{0.3485}{2n}.$$
$S_p$ asserts a more negative $O(1/n)$ term than in $S$, so it looks like some of the negativity of the $O(1/n^2)$ asymptotic term is being pushed into the $O(1/n)$ term. One can probably get to $S_p$ numerically by this approach, but the closed form for the coefficient suggests a different approach. (Unless one is being sneaky, found a numerical coefficient, and then found a closed form expression that approximates the coefficient.)